AI Platform Engineer (Gen AI)
Job Description
AI Platform Engineer (Gen AI) designs, deploys, and optimizes scalable generative AI platforms, LLM workflows, cloud infrastructure, APIs, automation, and enterprise AI solutions securely efficiently.
Responsibilities
- Build scalable Gen AI platforms for enterprise applications.
- Deploy LLM models using cloud-native infrastructure pipelines securely.
- Integrate APIs, vector databases, and AI orchestration tools.
- Monitor model performance, latency, reliability, and production costs.
- Implement prompt engineering, RAG workflows, and guardrails effectively.
- Automate CI/CD pipelines for AI model deployments safely.
- Collaborate with data, DevOps, and security teams daily.
- Troubleshoot platform issues and optimize Gen AI workloads.
Required Skills
- Strong Python programming and backend API development skills.
- Experience with LLMs, RAG, embeddings, and prompts engineering.
- Knowledge of AWS, Azure, GCP, or Kubernetes platforms.
- Understanding of vector databases and AI model deployment.
- Familiarity with Docker, CI/CD, monitoring, and security.
- Ability to optimize Gen AI performance and scalability.
Note: Salary depends on experience, skills, location, and is paid in local currency.
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